A latent genetic subtype of major depression identified by whole-exome genotyping data in a Mexican-American cohort.

ABSTRACT: Identifying data-driven subtypes of major depressive disorder (MDD) is an important topic of psychiatric research. Currently, MDD subtypes are based on clinically defined depression symptom patterns. Although a few data-driven attempts have been made to identify more homogenous subgroups within MDD, other studies have not focused on using human genetic data for MDD subtyping. Here we used a computational strategy to identify MDD subtypes based on single-nucleotide polymorphism genotyping data from MDD cases and controls using Hamming distance and cluster analysis. We examined a cohort of Mexican-American participants from Los Angeles, including MDD patients (n=203) and healthy controls (n=196). The results in cluster trees indicate that a significant latent subtype exists in the Mexican-Am

SUBMITTER: Yu C 

PROVIDER: S-EPMC5534938 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature